Senior Data & AI Engineer — Remote, Real-Time AI Pipelines

Quantiphi; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Quantiphi is seeking a Senior Data & AI Engineer to drive enterprise data and AI initiatives. You will architect and deploy real-time streaming pipelines, data products, and semantic layers, enabling GenAI/agentic capabilities.

Strong background in RAG, graph databases, and scalable data architectures is essential. You will lead data engineering efforts across cloud environments, collaborate with stakeholders, and mentor teammates while delivering high-impact AI-driven solutions for enterprise

Qualifications

• 6+ years of hands-on data engineering experience.
• Experience building large-scale data ecosystems on cloud platforms.

Responsibilities

• Design and maintain real-time data streaming pipelines.
• Implement Data and AI pipelines for diverse data types (structured, semi-structured, unstructured).
• Develop knowledge graphs and semantic layers for AI/Agentic use cases.
• Collaborate with cross-functional teams to deploy data solutions in production.
• Mentor junior engineers and contribute to best practices.

Skills

Real-time streaming

Data pipelines

RAG architectures

Graph databases

Python

Scala/Java

SQL

Cloud platforms

Team leadership

Tools

Apache Kafka

AWS Kinesis

Spark Streaming

Neo4j

Amazon Neptune

Cypher

SPARQL

Gremlin

GenAI tooling

Embedding techniques

Job description

Quantiphi is seeking a Senior Data & AI Engineer to drive enterprise data and AI initiatives. You will architect and deploy real-time streaming pipelines, data products, and semantic layers, enabling GenAI/agentic capabilities.

Strong background in RAG, graph databases, and scalable data architectures is essential. You will lead data engineering efforts across cloud environments, collaborate with stakeholders, and mentor teammates while delivering high-impact AI-driven solutions for enterprise